What is the best selection method?
Selection methods for multiple traits aim to find the balance to increase the population means for multiple traits.
These simulation reports demonstrate the differences between classical methods such independent culling and selection indices, to support the practical implementation of indices.
Contact: g.covarrubias@cgiar.org
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Cassava (IITA-NextGen Cassava): To scale or not to scale
It is recommended instead to use Smith-Hazel weights, or apply BLUPs directly to economic weights.
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Beans in East Africa (CIAT): Increasing accuracy
It is not recommended to alter the current base index selection scheme.
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Potato (CIP) selection schemes
Considers optimizing program size, running multiple cohorts, earlier recycling, selection indices and genomic selection.
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Cassava in West Africa (IITA): optimal selection strategy
The Smith-Hazel index is beneficial where the accuracy of breeding value estimation is low, but adds little to genetic gain where it is high.
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Maize (CIMMYT): selection indices.
It is recommended to adopt an index immediately and refine later.
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Rice (IRRI): selection indices.
Selection indices can improve genetic gain across all regions.